Autonomous Tech and Self-Driving Cars Dominate the Headlines

The autonomous tech industry is poised to explode, driving job growth and technological innovation. Everything from self-driving vehicles to automated infrastructure is sitting on a precipice of advancement that can be a truly momentous step into the era of the connected world. This week, we are focusing on some of the industry news surrounding autonomous vehicles, including the manufacturing aspect, their space in a smart city, and how major metropolitan areas initially resistant to the technology are starting to come around. In Japan the Race is On for Self-Driving Cars   IMAGE by Takashi Aoyama  According to a recent study by the Boston Consulting Group, fully autonomous vehicles are expected to account for a quarter of all new cars by 2035 — a slice of the auto industry totaling around $77 billion. While automakers across the globe are racing to become a leader in this new tech, no where is the competition more intense than in the auto-manufacturer rich island nation of Japan. This recent article from the San Francisco Chronicle notes that Toyota, Nissan and Honda have all made significant investments in developing autonomous tech. The autonomous vehicle race is particularly impactful because of the major implications to not only car OEMs who have to fundamentally change the way they approach their product, but to the hardware and software companies building the technology that will support these highly sophisticated (and regulated) vehicles. Could Owning an Autonomous Car Make You “Traffic Elite”?   IMAGE courtesy ZDNet If you end up being an early adopter of new autonomous tech, you may find your commute becomes shorter. ZDNet explains that a recent proposal from UC Berkeley grad students suggested the creation of a “Hyperland” — a special traffic lane reserved just for self-driving vehicles. If you want to be in the Hyperlane, you better not mind a brisk ride as the special lanes would allow for speeds over 100mph. The traffic on the Hyperlane would be controlled by a central computer that monitors traffic congestion, speed, and other variables through advanced sensor arrays and keeps traffic flowing freely. The project will cost a cool $11.4 per mile of road, so travel will likely come with a toll to ease the financial burden. Self-Driving Cars Job Market Booming   IMAGE by Gene J. Puskar, AP With so much emphasis on autonomous driving, cities are rushing to cash in on the movement. According to the Detroit Free Press, the advanced driver assistance systems and autonomous vehicle market was around $5 billion in 2015. It’s projected to grow to $96 billion by 2025 and a staggering $290 billion by 2035. This massive market growth has led to a number of cities across the country pitching their location as the “place to be” for autonomous tech. From Austin to Pittsburgh, automakers, OEMs and even government officials are pushing for their city as the best spot for innovation in the autonomous vehicle space. So will it be Detroit or Silicon Valley? Or one of a host of other cities vying for a slice of this massive cash cow? Time will tell. Better Late than Never: New York Easing Up on Laws for Driverless Vehicles   Back in 1971, New York passed a state law insisting all motor vehicles have a driver with at least one hand on the wheel at all times. Back then, this seemed that a pretty standard rule — but with the advent of self-driving cars, the rules of the game have changed. A recent article from the Democrat and Chronicle noted that until recently, New York was the only state the explicitly banned driverless cars from its roadways. However, the state has now approved a pilot program to allow the testing of driverless vehicles under certain conditions. State Senator Joe Robach was a vocal advocate for the new change. “While the technology for fully driverless cars is in the future, consumers certainly appreciate the automated technology that is currently in cars, including lane assist, self-braking, hands-free park assist and collision avoidance,” he said. “The legislation that was passed earlier this year ensures that driverless cars can be tested on the roads that future consumers in our state will use them on and are tested responsibly.” Audi of America is the first automaker to get approved for the new program, with other manufactures expected to jump on board in the coming months.

Robotics on the Battlefield

We’ve all seen those futuristic Sci-Fi movies where man and machine fight alongside each other in the throes of battle. While that might have seemed far fetched years ago, the reality is that robotics are increasingly becoming a part of our military today. In fact, the Pentagon recently requested prototypes of combined human-robot squads. As the robotics industry becomes increasingly important to military officials, technology providers are working hard to develop solutions that will support increasingly automated military efforts. A recent report estimates that robotics in the military will grow at a CAGR of 9.5 percent between now and 2023. According to the same report, robotics will be most used by the military in Europe during this time frame, followed by North America. The U.S. military continues to test out the possibilities for leveraging robots to protect soldiers, increase visibility in combat situations and generally streamline operations. Not only are these robotic applications groundbreaking — but they’re also really cool.  News stories on new robotic technology boast of robotic ships, heavily armed unmanned ground vehicles, and robotic tanks – with more innovative technology coming out all the time. For example, there is a robotic insect called the “RoboBee” which was created for crop pollination and disaster relief efforts, but could also potentially lead to robotic insects used for military purposes as the true “fly on the wall” concept — equipped with audio and visual capabilities. There are also recent reports around the push for robots designed to carry wounded soldiers out of battle instead of forcing medics to enter live combat zones. These robotics may also support troops behind enemy lines in a variety of other ways to prevent risking more lives, such as dropping medical supplies to soldiers in dangerous areas. Future technologies may have the power to deliver specific medicine and even blood to wounded soldiers. While there are robotic models being tested and deployed around the world, perhaps the most uncertainty lies in the data. A Data Disaster? As recently reported in Popular Mechanics, the robotics of tomorrow may be facing a serious data problem. The article notes that for one, robots are both consumers and creators of data. Technology needs to be able to sustain the sheer amount of data required for robotic operations. The article also highlights the importance of collecting and using the right data instead of ALL the data. The good news — thanks to the Industrial Internet of Things (IIoT) — is that modern technology is becoming more favorable for managing data and it will further be supported by secure command and control (C2) links. Wireless data communications solutions are available that enable reliable C2 links have been trusted by the government and defense industry for decades. Not only are they proven in combat, but they are applicable for today’s complex data-centric systems, including robotics.  With appropriate security measures and encryption capabilities in place, C2 links can be better protected to thwart malicious attacks on these automated systems – a critical function when the C2 links enable operations of the device. Further, when frequency-hopping techniques are used there is an additional layer of security, as these types of devices leverage coordinated, rapid changes in radio frequencies that naturally avoid interference. When FHSS technologies are combined with FIPS and AES security standards, as well as multiple user-defined cryptography keys (up to 32), they are equipped with a highly robust link that is well suited for military and combat operations. While robotics brings concerns to the data conversation, technology providers are working to keep up with modern data needs. With a secure C2 link, technology is further hardened for combat applications. It will be interesting to see the developments in robotics for the military in the next couple of years. What are some of the most interesting robotics applications you’ve seen?  

2017 Analyst Predictions – Industrial IoT

Predictions can be enlightening as we round out the end of the year, and industry analysts covering the Industrial Internet of Things (IIoT) have begun forecasting what to expect in 2017. In the ever changing digital business landscape, companies need to keep a pulse on the technology and regulatory environments to have direction on where to focus their efforts. Over the past few years, IIoT has taken on the shared title of industry 4.0, as new ways of connecting businesses and consumers impact systems infrastructures and technology integrations across many, if not all. business lines. In honor of reigning in 2017 as a strong year for the industrial internet, we have dedicated this week’s round up to highlight some of the top IIoT analyst predictions in the coming year. Gartner Predictions: Surviving the Storm Winds of Digital Disruption  By  Daryl C. Plummer, Martin Reynolds, Charles S. Golvin,  Allie Young, Patrick J. Sullivan, Alfonso Velosa, Benoit J. Lheureux, Andrew Frank, Gavin Tay, Manjunath Bhat, Peter Middleton, Joseph Unsworth, @rayval, @DavidFurl, Werner Goertz, @JCribbs_Gartner, Mark A. Beyer, @Alex42Linden, @noahelkin, @nheudecker, Tom Austin, @mc_angela, Fabio Chesini, Hung LeHong | Published on @Gartner_inc “Digital business innovation creates disruptive effects that have a wide-ranging impact on people and technology. However, secondary ripple effects will often prove to be more disruptive than the original disruption. Digital strategists must actively identify secondary effects when planning change.” Gartner Also Suggests That its Time to, Harness IoT Innovation to Generate Business Value By @chetster | Published on @Gartner_inc “The Internet of Things is moving beyond concepts and trials, and has begun to deliver business benefits across a range of industries. Studying innovation and how early use cases have fared will help CIOs and IT leaders capture business value.”   Forrester Predictions 2017: Cybersecurity Risks Intensify By @AmyDeMartine, Jeff Pollard, @infosec_jb, @acser, @heidishey, Christopher McClean, @jz415, @merrittmaxim, @sbalaouras, Trevor Lyness, Peggy Dostie | Published on @forrester “The connected world has arrived; we live and work in it. In this new reality, the next 12 months will see battles rage that will determine the amount of control individuals have over their own data and right to privacy as well as the offensive and defensive responsibilities of our governments. This report guides security and risk (S&R) pros through five predictions for 2017 that highlight escalating ramifications of poor security hygiene and how to mitigate potential damage.”   Ovum 2017 Trends: Radio Access Networks By @sonixag | Published on @OvumICT “This is part of Ovum’s 2017 Trends to Watch series. This report looks at what Ovum believes will be the major trends next year when it comes to the radio access network (RAN) market.The RAN market remains a challenging area and the need for spectrum remains a constant concern. RAN vendors are looking for new growth areas, and everybody wants 5G and they want it now. All of these factors are driving market trends.”   IDC 2017 Forecast: Manufacturing Worldwide By @kimknickle, Simon Ellis, @hashtonIDC, Christopher Holmes, @jeffhojlo, @ivanoortis, @VeronesiLor, Jing Bing Zhang | Published on @IDC “This IDC study provides manufacturers with the top 10 predictions and underlying drivers that we expect to impact manufacturers’ IT investments in 2017 and beyond. Technology leaders and their counterparts in the line-of-business (LOB) operations can use this document to guide their IT strategic planning efforts. According to Kimberly Knickle, research vice president, IT Priorities and Strategies, IDC Manufacturing Insights, “Technology continues to reshape the relationship between business and IT for innovation and digital transformation. Manufacturers want to work smarter using digital technologies in their products and processes and throughout the value chain. Our predictions create a framework for IT and line-of-business executives to plan and execute technology-related initiatives in the year ahead.”   As we conclude our highlights this week, we should realize these predictions are just the tip of the digital iceberg anticipated for 2017. The future could see more intelligent technologies communicating in industry 4.0 with machines processing more data. We could also expect to finally dig deeper into our IoT connected understanding. All we can do is hold tight as the next corner of digital transformation unfolds.

IoT Weekly Roundup

The IoT weekly roundup is designed to share the latest and most interesting news from the past week. As the industrial and consumer IoT space continues to heat up, we decided to uncover some very unique IoT applications that many didn’t even know existed. As the connected world continues to advance in the emerging digital age, virtually every facet of our lives is now being impacted by the IoT. In this week’s addition of IoT weekly roundup, we explore M2M, sensors, automation, drones and IoT language. Dive in and enjoy this week’s highlights! Weekly Roundup of News How M2M and IoT enable new data-intensive applications By @dhdeans | Published on @TTech_News “During the last couple of years, machine-to-machine (M2M) technology has become an integral part of the services offered by global telecom providers and a significant revenue stream for M2M app specialists. They’ve developed comprehensive offerings, designed to reduce costs and increase efficiency.”   Sonar Mapping Sensors Help Understand Where Life Can be Found Underwater By Brooks Hays | Published on @UPI “New maps charted using sonar sensors have revealed the importance of ‘marine snow’ to the distribution of biomass on the ocean floor. Until now, mapping the ocean floor’s terrain, as well as distribution of marine snow and biomass, has proven difficult.”   Rail and Production Technology Parallels When it Comes to Automation By @DJGreenfield | Published on @automationworld “Explaining the IoT trend in rail, Weatherburn said that IoT is increasing interest in greater connectivity for operations optimization reasons. It’s also driving a move away from proprietary protocols and toward greater use of standard Ethernet. He noted that this is particularly true in rail when it comes to the delivery of communications and entertainment for the railway customer, pointing out that the rail industry is looking to carry both sets of data over standard Ethernet.”   Indie Sci-fi Film Shot Entirely by Autonomous Drones By @trentlmoore | Published on @blastr “Drone cameras are being used in just about everything nowadays, from sports coverage to emergency response, but what happens when you shoot a movie entirely from the sky?” The connected IoT is spawning a new vocabulary By @pmcfedries | Published on @IEEESpectrum “A big chunk of the Internet of Things consists of wireless transceivers combined with sensors, which can reside in appliances, devices, clothes, machinery, buildings—just about anything physical. Of course, the phrase ‘wireless transceiver combined with sensors’ is unwieldy, so such a node of the IoT is called a mote (short for remote).”   As we conclude our IoT weekly roundup, we hope you enjoyed learning about all the new applications and insights related to the powerful force of the Internet and connected technologies. Now go out and see what other IoT applications you can uncover!

Manufacturing the Future

It’s no secret that the industrial revolution was directly born from the development of specialized machinery, thus providing the means of manufacturing a new path in history. Industrialization marked a societal shift through the development of these new systems, which also opened new ways of doing business. The principles and practices from these transformations continue to have a long-lasting ripple effect on the world today. It may come as a surprise that America manufactures more today than we ever have before in the country’s history. The advancements in manufacturing have spurred the next era of global growth and innovation. As a local manufacturer for the past 20 years in Boulder, Colorado, FreeWave has a unique understanding of how producing goods locally actually improves the bottom line, as compared to sending the work offshore. The Manufacturer is Evolving According to a major report from the McKinsey Global Institute, manufacturing continues to evolve in many ways. Some of the key findings to note were: Manufacturing’s role is changing. The way it contributes to the economy shifts as nations mature: in today’s advanced economies, manufacturing promotes innovation, productivity, and trade more than growth and employment. In these countries, manufacturing also has begun to consume more services and to rely more heavily on them to operate. Manufacturing is not monolithic. It is a diverse sector with five distinct groups of industries, each with specific drivers of success. Manufacturing is entering a dynamic new phase. As a new global consuming class emerges in developing nations, and innovations spark additional demand, global manufacturers will have substantial new opportunities—but in a much more uncertain environment. The report also highlights two very critical priorities for the future: “Companies have to build their R&D capabilities, as well as expertise in data analytics and product design. They will need qualified, computer-savvy factory workers and agile managers for complex global supply chains. In addition to supporting ongoing efforts to improve public education—particularly the teaching of math and analytical skills—policy makers must work with industry and educational institutions to ensure that skills learned in school fit the needs of employers.” IoT and Smart Manufacturing Whether it’s called smart manufacturing, Industry 4.0 or Industrial IoT, even the casual observer of the industrial landscape can see how manufacturing is changing. Being driven by new technologies and rapidly evolving customer demands manufacturers have needed to respond with mass customization – the concept of building flexibility into mass production. Through the adoption of the Internet of Things (IoT), factory and plant settings are becoming more outfitted with advanced instrumentation and being interconnected for a holistic approach to the modern assembly line. IoT provides the ability to gain valuable data off of all the “things” along the manufacturing process. From the condition of assets and equipment to quality and yield metrics, IoT provides live, real-time data from the manufacturing environment to our fingertips. In addition, new data sets (and perhaps more importantly data analytics) are changing the way we see our machines, our processes and our business operations. Analytics can identify patterns in the data, model behaviors of equipment, and predict failures based on a variety of variables that exist in manufacturing. As more factories and equipment are instrumented with the IoT, data volume will only grow larger. In Closing America is still making plenty of “things” and thanks to the latest advancements in technology, is still the leader in many of its fields of expertise. Below is a throwback video from PBS to remind us how the manufacturing sector continues to produce not just products, but ingenuity. Video courtesy of

IIoT Top News: Machine Learning

Machine-to-machine (M2M) learning is an integral apart of the expanding world of Industrial IoT. Over the past few months we have given attention to manufacturing and its current digital disruption, but have failed to show the direct impact smart M2M and IoT technology is having on the industry. So, this week we are diving deeper into the term machine learning and how it connects to manufacturing both today and in the future. Before we get to our news round up let’s start by re-defining M2M, to ensure we are all on the same page with its purpose and meaning. Gartner has defined machine-2-machine communications as “something used for automated data transmission and measurement between mechanical or electronic devices.” Now, that we have defined M2M, its time to check out our top news round up for the week on how M2M applies to both manufacturing and IoT. 10 ways machine learning is revolutionizing manufacturing Machine learning is poised to improve manufacturing by streamlining the process of OT and IT, thus increasing efficiency and lowering overall operation costs. Louis Columbus at Forbes believes that “Every manufacturer has the potential to integrate machine learning into their operations and become more competitive by gaining predictive insights into production.”   IoT will recharge Machine Manufacturers Manufacturing can look to software companies as an example of how IoT can implement creating a smarter M2M network. Timothy Chou with writes, “Today, manufacturers of machines — whether seed drills, chillers, or CT scanners — can leverage the path paved by the software product companies through three new business models: service and support; assisted services and machine-as-a-service.”   Climbing the IoT Mountain–by adding M2M to manufacturing Manufacturing is only at the beginning of its ascent into IoT and M2M, so there are many more bumps and obstacles a long the way for the industry to fully integrate. Ronnie Garrett with Supply & Demand Chain Executive describes IoT and M2M manufacturing implementation as, “Standing at the foot of Mount Everest, ready to climb the world’s tallest mountain. You know you want to get to the top but you aren’t really sure how you will get there or what obstacles you’ll encounter along the way.”   Cybersecurity is manufacturing’s biggest risk factor Manufacturing needs to continue to add M2M automation and big data analytics to the shop floor, but a threat to the overall industry is manifesting itself in the cybersecurity world. Ian Wright with informs writes, “A new report from BDO indicates that 92 percent of manufacturers cited cybersecurity concerns in their SEC disclosures this year. According to BDO, this represents a 44 percent increase compared to the first Manufacturing Risk Factor report in 2013.”   As we wrap up our top news for the week, we realize the need to fully implement advanced machine learning across the manufacturing world will take more than a simple flick of the wrist. With that said, we leave you with a cautionary tale of when automation goes wrong. It was recently discovered an airport in India had an sign translated with automation software which read, “eating carpet strictly prohibited” — of course this was not the translation they had meant to display. Regardless, as we move towards a fully integrated M2M world, we will have to adjust our equations depending our our intended outcome, much like the world is finding with the love/hate of language automation. Hope you have enjoyed this week’s top news, as always tell us your thoughts on M2M and how it might impact your world!

Fog Computing: Answering the IoT Challenge

Fog Computing is being touted as the data communication solution our Internet of Things (IoT) devices are asking for by bringing the power of cloud computing closer to the end user. The fact is, the number of connected devices is going to continue to grow exponentionally. In fact, Gartner predicts that by 2020 IoT will include 26 billion connected things. Consider the impact that amount of data collected and processed will have.   The Challenge Naturally, with billions of devices all connected to the cloud for manufacturing, oil and gas, utilities, municipalities and enterprise, to name a few, the data transmission and processing rate is bound to slow down – especially if the current cloud architecture is upheld. Some IoT devices use the cloud to store data long term, where other connected things send data to the cloud to be analyzed and sent back to the devicewith operational instructions. Ahmed Banafa with SemiWiki explains, “As dependence on our newly connected devices increases along with the benefits and uses of a maturing technology, the reliability of the gateways that make the IoT a functional reality must increase and make up-time a near guarantee.”   What is Fog Computing? Fog Computing is a term coined by Cisco, that offers a way to analyze the data closer to the IoT device, thus saving valuable milliseconds. It may be hard to believe, but a millisecond has the power to prevent a M2M line shut-down, increase the speed at which power is restored to utilities and prevent an oil rig from leaking, just to name a few. An easy way to visually understand where Fog Computing fits in our IoT world, is by looking at the diagram above. It clearly shows that Fog Computing hangs between the cloud and the device, much like the fog on an early San Francisco morning. Fog Computing operates at the network edge, extending the cloud capabilities closer to the source (IoT device). Each IoT connection works with what’s called Fog Nodes to digest the intelligent data and then coordinate operational next steps, whether that be acting directly and or transmitting results to the cloud. The diagram below covers the types of response times IoT devices face from both Fog Nodes and main cloud locations.   Fog Computing Brings Efficiency to Enterprise A recent report by Machina Research highlights the companies that pioneered Fog Computing and those poised to capitalize on the benefits in their near future. These companies are able to collect, protect, transport and control the data via IoT devices at the edge of the network, saving time and creating a more stream-line approach to sending and receiving data efficiently and more securely. Overall, as our need to connect explodes, we will not only need to think about IoT, but also the way in which intelligent data is processed from the critical infrastructure and back to the cloud. Fog Computing will continue to open more efficient channels across our IoT, as long as we allow it.

IoT Top News: Manufacturing Disruption

Industrial IoT continues to cause disruption; not just in manufacturing, but across many other industries as well. In the last few months we’ve been keeping a pulse on the state of digital transformation across the business landscape and have been discovering exciting new implementations of Industrial Internet of Things (IIoT). This week we’re highlighting the disruption Industrial IoT is instigating as product development and lifecycle management continues to evolve. Overcoming Three Key Barriers to Industrial IoT Industrial IoT has the potential to capture data in real-time, leverage big data analytics and streamline efficiency to name a few. So what’s hold back the industry? A major barrier has to do with culture of the operational technology (OT) organizations within the industry. The OT have a risk-averse way of thinking and see change as disruption, “Whereas IT is defined by constant change and innovation, that’s why it’s not unusual to see industrial automation systems in service for decades at a time with little or no change.”   Bringing Smart Technology to Old Factories Can be an Industrial-Sized Disruption It sounds amazing to have robotic arms working together with the Industrial IoT. The reality is manufacturing is being disrupted by the implementation of IIoT. Mary Catherine O’Connor with the Wall Street Journal reminds us that, “Often plant managers can’t tell which sensor will most accurately collect the data they want from a machine without a series of test runs—a time-consuming process.”   Product-Development Strategies in the IIoT Disruption The key to succeeding with IIoT disruption will be to focus on the new innovation of both product and software for the industry. Machine Design reminds us that, “IIoT is a disruptive force that will shape product-development trends over the next decade and beyond.”   Relying on CMM to Keep IIoT’s Disruption Positive All the talk up to this point has been about the negative disruptive impacts IIoT is having on the industry. IIoT has the ability to drastically change manufacturing with a positive level of disruption introduced on the shop-floor. According the the American Machinist positive disruption can happen, “By using coordinate measuring machinery (CMM), machine shops or other manufacturers are able to capture the precise details of the geometry or surface conditions of a workplace. Working within IIoT, those manufacturers then are able to share such data between machines, exchange information between facilities, or with customers or suppliers.” Now we would like to leave you with this quick excerpt from Kevin Ashton, a British technology pioneer who co-founded the Auto-ID Center at the Massachusetts Institute of Technology (MIT) and inventor of the term “the Internet of Things.”   How the Internet of Things Disruption Gains Traction – Extreme IoT We hope you have enjoyed this closer look at the disruption Industrial IoT is bringing to the table and what steps are being done to allow more implementation across the industry. Let’s us know what disruption you have seen with IIoT.

IoT Top News: M2M Propels Machines

Time and again, those keeping a pulse on the Internet of Things (IoT) space frequently hear about the “rise of the machines.” Humanity is not only discovering fascinating ways to integrate machines into our daily lives, but also finding new uses for machines as well. How? Machines are now “internet-connected” just like the smartphones we carry around in our pockets. And this isn’t just on the commercial side with the likes of smart thermostats or connected vehicles – even tractors and oil and gas machinery are industrial examples of where new “things” are now on the digital network. In fact, there are more M2M or “machine-to-machine” communication devices on this planet than humans. As GSMA Intelligence reported in 2014, there are 7.2bn M2M devices versus 7.19bn humans. Stuart Taylor from Cisco also wrote a prediction that “The Internet of Things (IoT) is a world where up to 50 billion things (or devices) will be connected to the Internet by 2020; or, the equivalent of 6 devices for every person on the planet.” Realizing the major role M2M devices continue to have in our connected world, specifically as it relates to the advent of machine learning, it’s only natural to highlight the impact of machines and M2M in the past, present and future. The Machines are Coming: How M2M Spawned the Internet of Things In the digital world, M2M wireless solutions will work for us quietly, in the background solving all our day-to-day needs. John Kennedy with Silicon Republic reports that, “M2M is at the heart of the industrial internet of things (IIoT), powering smart factories that can be run remotely from a tablet computer, and smart buildings that monitor their environment and feed data back to the cloud.”   Is Machine Learning Over Hyped? In the now 24-hour news cycle, often the top news lingers around lighter topics. So how much hype should be given to machine learning (ML)? The Huffington Post respondent Scott Aaronson, theoretical computer scientist at MIT, seems to think that “There’s no doubt in my mind that people 30 years from now will agree with us about the central importance of ML, but which aspects of ML will they rage at us for ignoring, or laugh at us for obsessing about when we shouldn’t have?   Machine Learning: Demystifying Linear Regression and Feature Selection Machine learning needs to integrate domain knowledge in order to improve the quality of data collected from analysts. Josh Lewis with Computerworld thinks that, “Business people need to demand more from machine learning so they can connect data scientists’ work to relevant action.”   Machine Learning Examples Crop up for Data Center Management Data centers appear to be the perfect place for enterprises to implement machine learning to its fullest. Christopher Yetman, COO at Vantage Data said, “There are also sensors that generate data about air pressure, humidity, temperature and supply voltage and typically feed into a programmable logic controller.”   M2M Technology Driving Agriculture’s Industrialization  On a global front, M2M is driving agriculture’s industrialization in South Africa. IT News Africa informs us that, “Given the ability to automate many monitoring and control functions through intelligent devices, agriculture is a prime target for leveraging M2M capabilities.”   We hope you have enjoyed this week’s roundup, and as M2M connections continue to pile-up, we urge you to consider the plethora of commercial and industrial use cases that can benefit from these innovations.

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